{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b415271c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-15T19:58:43.182930Z",
     "start_time": "2022-09-15T19:58:41.466193Z"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "UTAH_POP = 3_282_115"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cdd5fbcc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-16T14:49:28.793683Z",
     "start_time": "2022-09-16T14:49:28.775153Z"
    },
    "code_folding": [
     47
    ]
   },
   "outputs": [],
   "source": [
    "def plot_horiz_CI(y, mean, lower, upper=None, ax=None, plot_mean_kwargs=None, endcap_height=0.15, color='blue', **plot_kwargs):\n",
    "    if upper is None:\n",
    "        upper = mean + (mean - lower)\n",
    "    if ax is None:\n",
    "        ax = plt.gca()\n",
    "    \n",
    "    if 'color' not in plot_kwargs:\n",
    "        plot_kwargs['color'] = color\n",
    "    \n",
    "    top_y = y - endcap_height\n",
    "    bot_y = y + endcap_height\n",
    "    \n",
    "    if plot_mean_kwargs is not None:\n",
    "        if 'color' not in plot_mean_kwargs:\n",
    "            plot_mean_kwargs['color'] = color\n",
    "        ax.scatter(mean, y, **plot_mean_kwargs)\n",
    "    # Middle line\n",
    "    ax.plot([lower, upper], [y, y], **plot_kwargs)\n",
    "    # lower CI line\n",
    "    ax.plot([lower, lower], [top_y, bot_y], **plot_kwargs)\n",
    "    # upper CI line\n",
    "    ax.plot([upper, upper], [top_y, bot_y], **plot_kwargs)\n",
    "    \n",
    "    return ax\n",
    "\n",
    "def plot_ci_and_est(actual, lower, upper, estimated, label, cdc=None):\n",
    "    global labs\n",
    "    \n",
    "    idx = (-len(labs) - 1) / 2\n",
    "    \n",
    "    labs[idx] = label\n",
    "    plot_horiz_CI(idx, actual, lower, upper, plot_mean_kwargs={'marker':'+', 's':4000}, lw=3)\n",
    "    plt.scatter(estimated, idx, marker='o', s=500, color='grey', zorder=10)\n",
    "    if cdc:\n",
    "        plt.scatter(cdc, idx, marker='x', s=2000, color='red', zorder=10)\n",
    "\n",
    "    return idx\n",
    "\n",
    "from matplotlib.path import Path\n",
    "from matplotlib.collections import PatchCollection\n",
    "\n",
    "# Stupid label for CI\n",
    "class PCHandler(object):\n",
    "    def legend_artist(self, legend, orig_handle, fontsize, handlebox):\n",
    "        x0, y0 = handlebox.xdescent, handlebox.ydescent\n",
    "        width, height = handlebox.width, handlebox.height\n",
    "        \n",
    "        codes, verts = zip(*[\n",
    "            # Left CI\n",
    "            (Path.MOVETO, (x0, y0)),\n",
    "            (Path.LINETO, (x0, y0 + height)),\n",
    "            # Middle Line\n",
    "            (Path.MOVETO, (x0, y0 + height / 2)),\n",
    "            (Path.LINETO, (x0 + width, y0 + height / 2)),\n",
    "            # Exp Value\n",
    "            (Path.MOVETO, (x0 + width / 2, y0)),\n",
    "            (Path.LINETO, (x0 + width / 2, y0 + height)),\n",
    "            # Right CI\n",
    "            (Path.MOVETO, (x0 + width, y0)),\n",
    "            (Path.LINETO, (x0 + width, y0 + height)),\n",
    "            ])\n",
    "        path = Path(verts, codes)\n",
    "        patch = mpl.patches.PathPatch(path, ec='blue', facecolor=\"none\")\n",
    "\n",
    "        handlebox.add_artist(patch)\n",
    "        return patch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4eb5479a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-16T14:51:22.467529Z",
     "start_time": "2022-09-16T14:51:22.022981Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style='whitegrid', context='poster')\n",
    "fig = plt.figure(figsize=(16, 8))\n",
    "ax = fig.gca()\n",
    "labs = {}\n",
    "\n",
    "# Indiana April 25-29 2020\n",
    "plot_ci_and_est(1.7, 1.1, 2.54, 1.65, \"Indiana\\nApril 25$^{th}$ - 29$^{th}$ 2020\")#, cdc=.163)\n",
    "\n",
    "# Utah, May 1$^{st}$ and July 1$^{st}$ 2020\n",
    "plot_ci_and_est(0.27, 0.12, 0.421, 0.42, \"Utah\\nMay 1$^{st}$ - July 1$^{st}$ 2020\")#, cdc=.11)\n",
    "\n",
    "# Utah March 3$^{rd}$ to March 13$^{th}$ 2021 Utah & SLC counties\n",
    "plot_ci_and_est(0.74, 0.24, 1.25, 0.69, \"Utah County, Utah\\nMarch 3$^{rd}$ - 13$^{th}$ 2021\")\n",
    "plot_ci_and_est(0.47, 0.0, 1.00, 0.57, \"Salt Lake County, Utah\\nMarch 3$^{rd}$ - 13$^{th}$ 2021\")\n",
    "\n",
    "plt.yticks(ticks=list(labs.keys()), labels=list(labs.values()), fontsize=24)\n",
    "plt.xlabel(\"Infection Prevalence (%)\")\n",
    "\n",
    "\n",
    "# lblue = (mpl.lines.Line2D([0,1], [0,0], color='blue', marker='+'),\n",
    "#          mpl.lines.Line2D([0,0], [-.1,.1], color='blue', marker='+'))\n",
    "lblk = ax.scatter([], [], marker='o', s=800, color='grey')\n",
    "plt.legend(handles=[1, lblk], labels=[\"Random Testing Measurement and 95% CI\", \"Estimated Latent Prevalence\"],\n",
    "           loc='lower center', bbox_to_anchor=(.35, -.35), ncol=2, borderpad=1, frameon=False,\n",
    "           handler_map={int: PCHandler()}\n",
    "          )\n",
    "fig.savefig(os.path.join('../output', 'prevalence_CI_barplot.pdf'), bbox_inches='tight', pad_inches=.1, transparent=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0bd04790",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
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  "toc": {
   "base_numbering": 1,
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